Recommendation of Web Service Selection Algorithm Based on Web Application Review

Ryuichi Takahashi, Kazuma Nishida, Yoshiaki Fukazawa

    Research output: Chapter in Book/Report/Conference proceedingConference contribution


    As the number of web services has increased, the number of services with the same functions has steadily risen. Consequently, many QoS (Quality of Service)-based service selection algorithms have been proposed to determine which service should be selected among those with the same functions. The prediction accuracy of the QoS attribute depends on the selection algorithm. In addition, the appropriate selection algorithm depends on the type of domain. For example, a stock notification service, which relies on real-time transactions, should employ a selection algorithm with a highly accurate response time. However, an automated method to recommend the optimal service selection algorithm has yet to be established. In this paper, we propose a method to recommend selection algorithms.

    Original languageEnglish
    Title of host publicationProceedings of TENCON 2018 - 2018 IEEE Region 10 Conference
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Number of pages6
    ISBN (Electronic)9781538654576
    Publication statusPublished - 2019 Feb 22
    Event2018 IEEE Region 10 Conference, TENCON 2018 - Jeju, Korea, Republic of
    Duration: 2018 Oct 282018 Oct 31

    Publication series

    NameIEEE Region 10 Annual International Conference, Proceedings/TENCON
    ISSN (Print)2159-3442
    ISSN (Electronic)2159-3450


    Conference2018 IEEE Region 10 Conference, TENCON 2018
    Country/TerritoryKorea, Republic of


    • algorithm selection
    • review analysis
    • service oriented computing

    ASJC Scopus subject areas

    • Computer Science Applications
    • Electrical and Electronic Engineering


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